The present disclosure relates generally to investigative techniques such as assays; and more specifically, to methods and the use of systems for analysing FluoroSpot assays. Disclosed but not claimed is a computer implementable program operable to execute the aforesaid method on the aforesaid apparatus.
Typically, investigative procedures, such as assays, are employed in fields of medicine, molecular biology, and so forth. For example, assays are widely utilized in immunology for determining rate of activation of cells in response to vaccines, infections, allergens, etc. Assays involving antibodies as key components are typically referred to as immunoassays. Examples of immunoassays include, but are not limited to, Enzyme-Linked Immunosorbent Assay (ELISA), Enzyme-Linked ImmunoSpot (ELISPOT) assay, FluoroSpot assay.
Generally, the immunoassays include detection and quantitation of analytes in liquid samples or the monitoring of secreted analytes (for example, cytokines and immunoglobulins) by cells under observation. For example, in a FluoroSpot assay, cytokine-specific capture antibodies may be added to an assay plate having wells therein. Thereafter, cells may be added to the wells in presence or absence of activating stimuli and the assay plate may be incubated to allow for cytokine secretion by the cells. The secreted cytokines may be captured by the immobilized cytokine-specific capture antibodies at the bottom of wells. Thereafter, the cells may be removed and the wells may be washed and added with cytokine-specific detection antibodies and fluorophore conjugates. Finally, secretory footprints (or spots) of the secreted cytokines are captured by way of imaging, and such images are analysed for identifying multiple analytes, counting number of cells secreting the analytes, and the like.
However, there exist a number of limitations associated with analysis of such assays. Firstly, the cells under observation secrete the analytes in different quantities, thereby creating spots of varying sizes and intensities. Therefore, over a period of time, such secretion may lead to different spatial intensity profiles among spots of the analytes. Further, in many instances, the captured images may be saturated (or over exposed) by imaging equipment, and the true spatial intensity profiles of the spots are not clearly visible. Often, the cells are closely located to each other, thereby, leading to overlap of the spots in the captured images. Currently existing analytic techniques are not sufficiently developed to accurately determine secretion intensities of individual cells, and distinguish individual spots. The saturation of captured images further exacerbates problems associated with distinguishing individual spots from overlapped spots. Secondly, the currently existing techniques are unable to accurately determine centres of the spots. Specifically, the centres of spots emit stronger fluorescent signals as compared to other regions of the spots, thereby, facilitating identification of multiple secretions from a single cell. However, due to existing limitations in accurate determination of the centres of spots, identification of multiple secretions from the cells is difficult, and prone to errors. Thirdly, equipment employed for currently existing techniques introduces problems in the analysis of assays, such as compression of the captured images by the imaging equipment, inaccurate capture of images (such as shift between the images), blurring in the captured images on account of vibrations in the equipment, chromatic aberration and so forth. Fourthly, the equipment employed for conventional techniques fail to effectively measure the concentration of analytes in one or more wells of the array. Furthermore, it deploys duplication of tests for measuring the concentration of the analytes, thereby, increasing time, cost and complexity of the process. Nonetheless, the entire process results in a reduction of efficacy in determining the potential analyte releasing cells and the concentration of the analyte in the well.
Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks associated with analysis of assays.
The present disclosure seeks to provide a method for analysing FluoroSpot assays. The present disclosure also seeks to provide the use of a system for analysing FluoroSpot assays. The present disclosure seeks to provide a solution to the existing problems of inaccurate determination of secretion intensities of individual cells, errors in distinguishing individual spots and measuring concentration of the analytes in conventional assay analysis techniques. An aim of the present disclosure is to provide a solution that overcomes at least partially the problems encountered in prior art, and provides an efficient, robust, and easy to implement assay analysis technique.
In a first aspect, an embodiment of the present disclosure provides a method for analysing FluoroSpot assays, wherein the method accurately determines secretion intensities of cells by analysing different spatial intensity profiles among spots of the secreted analytes, and distinguishes individual spots, wherein the method comprises:
The present disclosure is of advantage in that it efficiently detects and quantitates the analytes secreted by the cells in liquid samples.
Embodiments of the disclosure are advantageous in terms of providing a method that conforms to an advanced and highly efficient and robust analytical technique. Moreover, the embodiments of the disclosure are advantageous in terms of an automatic sensing mechanism for detecting the high fluorescent intensity and correlating the fluorescent intensity with the concentration of the analyte in the well(s). Beneficially, the analyte distribution and/or concentration measurement require minimal or no manual intervention, thereby reducing the cost of operation of the assay.
Optionally, the at least one excitation light for illuminating the well of the assay plate depends on the at least one fluorophore-detected analyte in the spatially defined area of the well.
Optionally, the method further comprises identifying a centre of the well for determining the spatially defined fluorospot.
Optionally, the method further comprises obtaining the fluorescent intensity at the at least one spatially defined fluorospot.
Optionally, clustering the plurality of co-positioned fluorospots employs a distance-based hierarchical clustering algorithm.
Optionally, the method further comprises displaying a resultant model of analyte release distribution in the well, wherein the resultant model comprises the detected at least one fluorospot, and wherein single secretion fluorospots and multiple secretion fluorospots are represented distinctly.
Optionally, capturing at least one image of the well is performed by way of imaging.
Optionally, imaging is performed by using any one of: a high-dynamic-range imaging device, a low-dynamic-range imaging device, a digital camera.
In a second aspect, an embodiment of the present disclosure provides a use of a system for analysing fluorospot assays, and for accurately determining secretion intensities of cells by analysing different spatial intensity profiles among spots of the secreted analytes, and distinguishes individual spots, wherein the system comprises
Embodiments of the present disclosure substantially eliminate or at least partially address the aforementioned problems in the prior art, and enables accurate and reliable assay analysis.
Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments construed in conjunction with the appended claims that follow.
It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.
A better understanding of the present invention may be obtained through the following examples which are set forth to illustrate, but are not to be construed as limiting the present invention.
The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.
Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:
In the accompanying drawings, an underlined number is employed to represent an item over which the underlined number is positioned or an item to which the underlined number is adjacent. A non-underlined number relates to an item identified by a line linking the non-underlined number to the item. When a number is non-underlined and accompanied by an associated arrow, the non-underlined number is used to identify a general item at which the arrow is pointing.
It is appreciated that certain features of the invention, which are for clarity described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely various features of the invention, which are for brevity, described in the context of a single embodiment, may also be provided separately and/or in any suitable subcombination.
The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognize that other embodiments for carrying out or practicing the present disclosure are also possible.
In one aspect, an example of the present disclosure provides a method for analysing FluoroSpot assays, the method comprising:
In another aspect, an example of the present disclosure provides a system for analysing FluoroSpot assays, the system comprising:
The present disclosure provides a method and a system for analysing fluorescent assays. The described method and system are simple, robust, and easy to implement as compared to conventional techniques and equipment for analysis of assays. Beneficially, the described method accurately determines secretion intensities of cells by analysing different spatial intensity profiles among spots of the secreted analytes, and distinguishes individual spots. Further, the described method accurately determines centres of the spots, thereby, facilitating accurate identification of multiple secretions from a single cell. Moreover, the system described herein is inexpensive, easy to use, reliable, time efficient and reduces errors on account of manual inspection, compression of captured images by imaging equipment, blurring in the captured images, due to moving or vibrating components and/or imprecision in focus, wrong calibration, temporal or inherent noise and so forth.
In an embodiment, the term 'assay' used herein relates to fluorescence-based assays. Specifically, such fluorescence-based assays (for example, FluoroSpot assays) utilize principles of fluorescence in order to investigate cells, such as human cells, animal cells, and so forth. More specifically, the fluorescence-based assays enable simultaneous analysis of different analytes secreted by the cells under investigation, by employing fluorophore-labeled detection reagents to distinctly identify the different analytes. Therefore, secretory footprints (or fluorospots) of the different analytes are distinct from each other. Furthermore, fluorescence-based assays enable measuring the concentration of the analytes secreted by cells based on the fluorescent intensity of the analytes in a sample, specifically a liquid solution. According to an embodiment of the present disclosure, the term 'analyte' used herein relates to a substance that is analysed by implementing assays, such as a FluroSpot assay.
In an embodiment of the present disclosure, the term 'FluoroSpot assay' used herein relates to immunoassays, enumerating analytes secreted by cells. Specifically, the FluoroSpot assay relates to a method of detection of analytes secreted by cells, such as human cells, animal cells and so forth. Furthermore, in an embodiment, the term 'fluorospot' used herein relates to secretory footprints of an analyte. Specifically, the secretory footprint of an analyte is sensitive to a wavelength of an excitation light. More specifically, the secretory footprint of the analyte is captured by an imaging device for detection of the analyte.
The method for analysing FluoroSpot assays comprises illuminating a well of an assay plate having plurality of wells, with at least one excitation light, wherein at a given time, the well of the assay plate is illuminated by only one excitation light. Specifically, the plurality of wells of the assay plate (commonly referred to as a microtiter plate, microplate, microwell plate, and the like) include at least one fluorophore-detected analyte (hereinafter referred to as 'at least one analyte'). Further, upon illumination by the at least one excitation light, the at least one analyte may emit fluorescence (known as 'at least one emitted light'). Furthermore, at least one analyte secreted by the cell may be bound to a mixture of tag-labelled and biotinylated analyte-specific detection antibodies. Moreover, the mixture may be further bound to detection reagents conjugated to different fluorophores. In an embodiment, a wavelength of the at least one emitted light may be greater than a wavelength of the at least one excitation light. It is to be understood that although the method described herein relates to analysis of one well of the assay plate, the method may be implemented to analyse more than one well of the assay plate.
In an embodiment, the at least one excitation light for illuminating the well of the assay plate depends on the at least one fluorophore-detected analyte in the spatially defined area of the well. Since analytes may be detected using distinct fluorophore detection, a distinct excitation light may be employed to illuminate and analyse a distinct analyte. For example, a well of an assay plate including two fluorophore-detected cytokines 'A' and 'B' may be illuminated with two excitation lights 'L1' and 'L2'. In such example, wavelength of excitation light L1 may match wavelength of a fluorophore employed to label the cytokine A, and wavelength of excitation light L2 may match wavelength of a fluorophore employed to label the cytokine B.
Further, the method comprises capturing at least one image of the well, in raw image format, for each of the at least one excitation light. Specifically, the captured at least one image may be constituted using the at least one emitted light that is emitted from the at least one analyte when the well is illuminated by the at least one excitation light. More specifically, for a given excitation light, the captured at least one image corresponding thereto, visually represent secretory footprints (or fluorospots) of an analyte that is sensitive to wavelength of the given excitation light. It is to be understood, that a number (or a count) of the captured at least one image for different excitation lights may or may not be equal. Referring to the aforementioned example, 20 images of the well may be captured for the excitation light L1, and 30 images of the well may be captured for the excitation light L2. Therefore, the captured 20 images visually represent fluorospots of the cytokine A, and the captured 30 images visually represent fluorospots of the cytokine B.
According to an embodiment of the present disclosure, the at least one image of the well is indicative of spatially located analyte sources and temporal distribution. Specifically, the term 'spatially located analyte sources' relates to a spatial distribution of the fluorospots of the at least one analyte in an image of the well. Further, the term 'temporal distribution' relates to fluorospots of the at least one analyte at a certain time in the captured at least one image of the well. Specifically, the captured at least one image represents temporal distribution in the fluorospots of the at least one analyte. In an example, the captured at least one image of the well may provide an indication of the temporal distribution of an analyte based on the spatial distribution of the analyte and dispersion of the analyte in the well. In another example, the captured at least one image of the well may not comprise analyte in the well, and is captured for determining all well coordinates, depth of well, centre of well and the exact position of the well borders.
It will be appreciated that the captured at least one image of the well for each of the at least one excitation light are in raw image format. Beneficially, images captured in raw image format are in unprocessed form and are therefore free from colourspace-dependent encoding. Optionally, the captured at least one image of the well for each of the at least one excitation light have image file formats, including, but not limited to, Joint Photographic Experts Group format, Tagged Image File Format, Portable Network Graphics format, and Graphics Interchange Format.
Furthermore, capturing at least one image of the well is performed by way of imaging. Specifically, the term 'imaging' relates to representation or creation of an object (or a scene) by recording light (or other electromagnetic radiations) emanating from the object, by means of emission or reflection. More Specifically, a real image is produced on an image-sensing surface inside an imaging device during a timed exposure. Typically, the image-sensing surface comprises an array of pixels arranged in color-filter units (or cells) for generating red, blue, green and white image signals.
It will be appreciated that imaging is performed by using any one of: a high-dynamic-range imaging device, a low-dynamic-range imaging device, a digital camera. Embodiments of the disclosure employ a high-dynamic-range (indicated by 'HDR' hereafter) imaging device. Specifically, the HDR imaging employs combining two or more images to produce a greater range of luminance in a final image as compared to standard digital imaging techniques. More specifically, HDR imaging employs taking several images with different exposures and then merging the images into a single HDR image. In an example, the different exposures may be -1 EV, 0 EV and +1 EV. Beneficially, HDR imaging employs a suitable HDR software that enables high sensitivity, excellent measuring range, higher luminance, minimized risk of saturation of sensor, tone mapping, much greater range of colors and brightness, image alignment, filtering random noise, and so forth.
Further, the method comprises generating a model of analyte release distribution in the well for each of the at least one excitation light, wherein the generation of the model of analyte release distribution in the well for a given excitation light comprises deconvolving the captured at least one image of the well for the given excitation light to estimate a pre-diffusion analyte distribution, wherein such deconvolution is performed prior to local diffusion of at least one analyte, and detecting at least one potential analyte release site based on local maxima in the pre-diffusion analyte distribution. In an embodiment, the generated model for each of the at least one excitation light is a mathematical function. Furthermore, the mathematical function may be a three-dimensional function, wherein the mathematical function may represent the spatial distribution of the analyte provided on a two-dimensional plane (for example, an x-y plane) and a third dimension thereof may be indicative of the temporal distribution of analyte. Subsequently, the third dimension of the mathematical function may be projected onto the two-dimensional plane to provide a two-dimensional mathematical function. Moreover, the two-dimensional mathematical function may be similar to a two-dimensional image. Therefore, the generated model for each of the at least one excitation light is a mathematical function representative of the analyte distribution in the well (specifically, of secretory footprints or fluorospots of the at least one analyte) for each of the at least one excitation light. Further, it is to be understood that a wavelength of fluorospots representing different analytes is different. Specifically, each generated model of analyte release distribution represents distribution of a distinct analyte in the well, and such distribution is detected by way of illuminating the well with a specific excitation light, and capturing the at least one image of the well, in raw image format, for the specific excitation light to generate the model of analyte release distribution for the distinct analyte. For example, two models (G1 and G2) of analyte release distribution in a well for two excitation lights (L3 and L4) may be generated. In such example, the model G1 may represent distribution of analyte A1 in the well and the model G2 may represent distribution of analyte A2 in the well. Therefore, a wavelength of fluorospots of analyte A1 in the model G1 is different from a wavelength of fluorospots of analyte A2 in the model G2.
According to an embodiment, deconvolving the captured at least one image of the well comprises implementing at least one of: sparsity-promoting regularization, multiplicative update rules, forward-backward proximal gradient algorithms. Specifically, at least one of the aforementioned algorithms may be employed in order to estimate the pre-diffusion analyte distribution for each of the at least one excitation light. For example, sparsity-promoting regularization may be implemented in form of /1-regularization or group-sparsity regularization based on (non-squared) form of 12-regularization over the captured at least one image for the given excitation light, for implementing regularization among the at least one image during such deconvolution. In another example, multiplicative update rules and/or forward-backward proximal gradient algorithms may facilitate optimization of variables during such deconvolution. Examples of forward-backward proximal gradient algorithms include, but are not limited to, iterative shrinkage-thresholding algorithms (ISTA), and the accelerated proximal gradient algorithms (FISTA).
Optionally, the method further comprises identifying a centre of the well for determining the spatially defined fluorospot. Specifically, local maxima at the center of each well is known as a calibration point or a hard spot or a spatially defined fluorospot. In an embodiment, detecting the at least one potential analyte release site based on local maxima in the pre-diffusion analyte distribution, may be implemented using conventional mathematical formulae and image processing functions for determining local maxima and evaluating the image representing the pre-diffusion analyte distribution, respectively.
In an embodiment, generation of the model of analyte release distribution in the well for a given excitation light comprises optimizing the pre-diffusion analyte distribution based on the detected at least one potential release site to generate the model of analyte release distribution in the well for the given excitation light. Optionally, optimizing the pre-diffusion analyte distribution relates to refitting the image representing the pre-diffusion analyte distribution based on the detected at least one potential analyte release site. Specifically, in such optimization, a constraint is added to the image representing the pre-diffusion analyte distribution, wherein the constraint is that analytes may be released only from the detected at least one potential analyte release site. According to an embodiment, optimizing the pre-diffusion analyte distribution based on the detected at least one potential analyte release site, is implemented iteratively at least once, and comprises employing at least one of: alternating direction methods, multiplicative update rules, forward-backward proximal gradient algorithms. Examples of the alternating direction methods include, but are not limited to, Douglas-Rachford alternating direction methods, iterative shrinkage-thresholding algorithms (ISTA), and split inexact Uzawa methods. Examples of the multiplicative update rules include, but are not limited to, Exponentiated gradient update rules, and multiplicative updates for positivity constrained quadratic programs.
In an example, optimizing a pre-diffusion analyte distribution for an excitation light L5 is implemented in two passes, wherein in a first pass, all pixels of an image representing the pre-diffusion analyte distribution for the excitation light L5 are considered as potential analyte release sites, and in a second pass, by employing at least one of the aforesaid algorithms/rules, a number of pixels considered as potential analyte release sites is reduced.
Therefore, it is to be understood that the generated model of analyte release distribution in the well for each of the at least one excitation light is generated in a form of a mathematical function.
In an embodiment, generating the model of analyte release distribution in the well for each of the at least one excitation light further comprises modifying the generated model of analyte release distribution in the well for each of the at least one excitation light, to analyse at least one fluorospot therein. Specifically, such modification may relate to gating or pruning of the at least one fluorospot in the generated model of analyte release distribution in the well for each of the at least one excitation light. Further, such modification may be performed to set 'cut-offs' to be employed to exclude and/or include the at least one fluorospot detected in the generated model of analyte release distribution in the well for each of the at least one excitation light. More specifically, such modification may facilitate a user to select the at least one fluorospot for analysis of attributes such as secretion intensity (or amount of analyte secretion) of the cells. For example, by modifying the generated model of analyte release distribution in the well for each of the at least one excitation light, the user can separately study and calculate an amount of the at least one analyte secreted by the cells under investigation.
According to an embodiment, modifying the model of analyte release distribution in the well, is based on at least one user-selectable parameter, wherein the at least one parameter is selected from a group comprising: fluorospot/fluorescent intensity, fluorospot size, estimated amount of analyte release, fluorospot colour, area of interest in the well. Specifically, upon selection of the at least one parameter, the user may specify a value of the selected at least one parameter as a measure of sensitivity of fluorospot detection/analysis. In an example, for a given excitation light L6, the user may select a parameter, such as area of interest in the well, and specify that only fluorospots in a left half of the well may be analysed. Optionally, in such example, the user may specify that the fluorospots along a periphery of the well may be discarded to prevent unwanted artefacts from being analysed. In another example, for the given excitation light L6, the user may select a parameter, such as fluorospot size, and specify that only fluorospots of radius greater than 30 micrometres may be analysed.
Therefore, it is to be understood that the modified model of analyte release distribution in the well for each of the at least one excitation light is provided in a form of a mathematical function.
The method further comprises clustering a plurality of co-positioned fluorospots as a multiple secretion fluorospot, wherein the clustering is performed for all generated models of analyte release distribution, and wherein the clustering determines at least one multiple secretion fluorospot. Specifically, all generated models of analyte release distribution are processed to identify a plurality of fluorospots of different analytes that are positioned at a same location (for example, at same pixel coordinates) and/or proximal to each other. Further, in such instance, the plurality of fluorospots may be considered proximal to each other if their respective locations lie within a predetermined distance from each other. Specifically, such predetermined distance may be a maximal distance between fluorospots that can be clustered together. Optionally, such predetermined distance may be specified by the user. In an embodiment, clustering the plurality of co-positioned fluorospots employs a distance-based hierarchical clustering algorithm. Specifically, the distance-based hierarchical clustering algorithm is contiguity constrained, thereby, preventing proximal fluorospots of a same generated model of analyte release distribution from being clustered together.
It is to be understood that the term 'multiple secretion fluorospot' used herein relates to a secretory footprint of a plurality of analytes that are secreted from a single cell. Therefore, the plurality of co-positioned fluorospots for all generated models of analyte release distribution, represent the plurality of analytes that are secreted from the single cell. Further, the at least one multiple secretion fluorospot determined by aforesaid clustering relate to at least one cell that secretes the plurality of analytes.
The method may further comprise displaying a resultant model of analyte release distribution in the well, wherein the resultant model comprises the detected at least one fluorospot, and wherein single secretion fluorospots and multiple secretion fluorospots are represented distinctly. Specifically, the resultant model of analyte release distribution in the well relates to a resultant image that is an overlay of images of the generated models of analyte release distribution, for each of the at least one excitation light. More specifically, since the wavelength of fluorospots for different analytes is different, in the resultant model of analyte release distribution in the well, a wavelength of multiple secretion fluorospots may be a combination of wavelengths of fluorospots of its constituent analytes. For example, there may exist two modified models of analyte release distribution in a well to analyse two analytes (such as analytes A3 and A4). In such example, a wavelength of fluorospots of analyte A3 may correspond to a green colour, and a wavelength of fluorospots of analyte A4 may correspond to a red colour. Thereafter, in a resultant model of analyte release distribution in the well, there exist single secretion fluorospots (of each of the analytes A3 and A4) and multiple secretion fluorospots (of both analytes A3 and A4).
As mentioned previously, the present disclosure describes the system for analysing FluoroSpot assays. Specifically, the described system is employed for implementing the aforementioned method for analysing FluoroSpot assays.
The system comprises a light source arrangement configured to generate at least one excitation light, wherein at a given time, the light source arrangement generates only one excitation light. In an embodiment, the light source arrangement comprises at least one light source positioned on an actuator arrangement, wherein the at least one light source is implemented by way of at least one of: Light Emitting Diode, halogen light source, xenon light source, laser light source. For example, the light source arrangement may comprise 5 light sources positioned on a motorized actuator arrangement, wherein the motorized actuator arrangement may be rotatable, tiltable, or displaceable (horizontally and/or vertically).
Further, the system comprises a collimation arrangement positioned on an optical path of a generated excitation light, wherein the collimation arrangement is configured to collimate the generated excitation light. Specifically, the collimation arrangement makes rays of the at least one excitation light parallel to each other. In an example, the collimation arrangement may be at least one collimation lens.
Furthermore, the system comprises a multiband beam splitter positioned on an optical path of the collimated excitation light, the multiband beam splitter being supported by a support arrangement. The multiband beam splitter is configured to reflect the collimated excitation light onto an assay plate for illuminating a well of the assay plate having a plurality of wells, receive a reflection of the excitation light and an emitted light from the assay plate, and reflect a portion of the reflected excitation light whilst transmitting a remaining portion of the reflected excitation light and the emitted light to a filtering arrangement. Specifically, the multiband beam splitter receives the reflection of the excitation light mixed with the emitted light from the assay plate, but is unable to completely block the reflection of the excitation light from passing therethrough. Therefore, the portion of the reflected excitation light that is reflected from the multiband beam splitter relates to a part of the reflected excitation light that is blocked from passing through the multiband beam splitter. Further, the remaining portion of the reflected excitation light that is transmitted through the multiband beam splitter relates to remnants of the reflected excitation light that do not get blocked from through transmission. As described previously, the emitted light relates to fluorescence emitted from an analyte upon illumination by the collimated excitation light. Therefore, different emitted lights emitted from different analytes are passed through the multiband beam splitter.
In an example, the assay plate is positioned at a right angle with respect to the multiband beam splitter. Therefore, the multiband beam splitter may reflect the collimated excitation light by an angle of approximately 90 degrees onto the assay plate for illuminating the well of the assay plate.
The multiband beam splitter is implemented by way of at least one of: a transparent mirror, a semitransparent mirror, a prism, a dichroic mirror. According to another embodiment, the support arrangement is a filter cube. Specifically, the filter cube may be a semitransparent or a transparent cubical structure configured to accommodate and support the multiband beam splitter therein. For example, in the system, a dichoric mirror may be mounted diagonally within a filter cube.
The system further comprises the filtering arrangement comprising a filter wheel and at least one emission filter, wherein the filter wheel is configured to accommodate the at least one emission filter therein. The at least one emission filter is configured to remove the remaining portion of the reflected excitation light received from the multiband beam splitter, and filter the emitted light whilst transmitting the emitted light to an optic arrangement. Specifically, the filter wheel is a rotatable device including at least one housing to accommodate the at least one emission filter therein. More specifically, the at least one emission filter may be configured to block light of any wavelength other than that of the emitted light.
Further, the system comprises the optical arrangement configured to direct the filtered emitted light onto an imaging device. Specifically, the optical arrangement may include at least one optical element to change the optical path of the filtered emitted light, so as to focus the filtered emitted light on to the imaging device. The optical arrangement comprises at least one of: telecentric lens, macro lens. Optionally, the optical arrangement may also comprise optical elements such as mirrors, prisms, lenses, and the like.
The system comprises the imaging device configured to capture at least one image of the well, in raw image format, for each of the at least one excitation light. Specifically, the imaging device is selected from any one of: a high-dynamic-range imaging device, a low-dynamic-range imaging device, a digital camera. As mentioned previously, the present disclosure employs an HDR imaging device configured to capture the at least one image of the well, in raw image format, for each of the at least one excitation light. More specifically, the imaging device receives the filtered emitted light from the optical arrangement onto an image sensor of the imaging device, to capture the at least one image. The imaging device may capture the at least one image in grayscale. Specifically, higher resolution grayscale images are captured by employing raw image format. Beneficially, images captured in raw image format are in unprocessed form as compared to images of other formats such as Joint Photographic Experts Group (JPEG) format, and are therefore free from colourspace-dependent encoding. The imaging device may capture the at least one image as coloured images.
Furthermore, the system comprises a processing module coupled to the imaging device, wherein the processing module is configured to generate the model of analyte release distribution in the well for each of the at least one excitation light, and cluster the plurality of co-positioned fluorospots as a multiple secretion fluorospot, wherein the clustering is performed for all generated models of analyte release distribution, and wherein the clustering determines at least one multiple secretion fluorospot.
Optionally, in this regard, the processing module is further configured to deconvolve the captured at least one image of the well for the given excitation light to estimate a pre-analyte distribution, and detect at least one potential analyte release site based on local maxima in the pre-diffusion analyte distribution.
Furthermore, optionally, the processing module is configured to optimize the pre-diffusion analyte distribution based on the detected at least one potential release site and modify the generated model of analyte release distribution in the well for each of the at least one excitation analyte, to analyse at least one fluorospot therein.
The system further comprises at least one excitation filter positioned on an optical path of the collimated excitation light, wherein the at least one excitation filter is configured to filter the collimated excitation light. Specifically, the at least one excitation filter may be configured to the wavelengths of the at least one excitation light such that, at a given time, an excitation filter may only pass an excitation light of a desired wavelength whilst blocking light of other wavelengths from passing therethrough. Therefore, the at least one excitation filter purifies the collimated excitation light by blocking undesired light components. In such instance, a distinct excitation filter may be employed for a distinct excitation light. Optionally, the excitation filter may comprise a filter wheel.
The system may further comprise a visualization module coupled to the imaging device and the processing module, wherein the visualization module comprises a user interface rendered on a computing device associated with a user, and wherein the visualization module is configured to perform at least of: display the captured at least one image for each of the at least one excitation light, display the generated model of analyte release distribution in the well for each of the at least one excitation light, receive user input to control operation of the processing module, display a resultant model of analyte release distribution in the well. Specifically, the visualization module may be operable by the user of the system for viewing the analysis of assays. In an example, the user may modify the generated model of analyte release distribution in the well for each of the at least one excitation light by interacting with the user interface (for example, via touch input, keypad input, mouse input, and the like) to select a parameter such as area of interest in the well, and specify the value of the parameter (such as, a left half of the well). Examples of the computing device associated with the user include, but are not limited to, a smartphone, a tablet computer, a desktop computer, a notebook computer, and a personal digital assistant.
The system may further comprise a mask for removing noise from the at least one excitation light. The term 'noise' relates to random disturbance that influence the overall fluorospot count. Noise may result from artefacts, such as hair, dust, fibers and the like, that enter into the wells of the assay plate. Such noise can get counted by the algorithm or software of the imaging device and result in false positive and/or false negatives in the overall fluorospot count. It is therefore necessary to remove the false positives and false negatives one by one, ensuring a noise-free fluorospot count. Noise removal is performed by adding a layer of paint, such as a mask, to the wells influenced with noise, and is configured to exclude noise behind the mask from the overall fluorospot count. Specifically, the term 'mask' relates to a practical approach for removing noise from an image. Beneficially, the mask excludes such artefacts from the spot-count, wherein all spots behind the mask are excluded from the overall spot-count. Subsequently, the noise is subtracted from the fluorescent intensity to obtain the net fluorescent intensity. The obtained net fluorescent intensity of each well of the assay plate is saved in any one of image file formats, including, but not limited to, Joint Photographic Experts Group format, Tagged Image File Format, Portable Network Graphics format, and Graphics Interchange Format.
For example, when an image of the plate is saved for example in a format such as Joint Photographic Experts Group (JPEG) format, a special Joint Photographic Experts Group (JPEG) image is created, namely Mask (or Mask.jpeg) depicting the locations on the well plate where the mask was added. Beneficially, a 'history file' is created that records each action performed over the image. Additionally, history file is used to access the possible alterations done on the saved image file.
Furthermore, the mask for removing noise from the at least one excitation light is operable to be removed from the system arrangement if required. Specifically, the added layer of paint is operable to be removed, as desired by the user, by simply accessing saved image of the plate and removing the mask to obtain the original data, comprising the fluorospots along with the potential noise associated with the fluorospots. It will be appreciated that in the mask implementation or removal process, no action or data is ever erased and each action is recorded in a history file. The history file records each change made in the process of analysing the FluoroSPot assays.
In a yet another aspect, examples of the present disclosure provide a software product recorded on machine-readable non-transitory (non-transient) data storage media, wherein the software product is executable upon computing hardware for implementing the aforementioned method; in other words, the present disclosure provides a computer program product comprising a non-transitory computer-readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions being executable by a computerized device comprising processing hardware to execute a method for analysing FluoroSpot assays.
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As shown, the system 100 includes a multiband beam splitter 116 positioned on an optical path of the filtered excitation light, the multiband beam splitter 116 being supported by a support arrangement 118. For example, the multiband beam splitter 116 is implemented by way of a dichroic mirror and the support arrangement 118 is a filter cube. As shown, the multiband beam splitter 116 reflects the filtered excitation light onto an assay plate 120 for illuminating a well of the assay plate 120 having a plurality of wells. The multiband beam splitter 116 is also configured to receive a reflection of the excitation light and an emitted light from the assay plate and reflect a portion of the reflected excitation light whilst transmitting a remaining portion of the reflected excitation light and the emitted light to a filtering arrangement 122. It is to be understood that a combination of the reflection of the excitation light and the emitted light, is depicted as a dashed-dot line having arrows (commonly known as a centre line).
The filtering arrangement 122 includes a filter wheel 124 and at least one emission filter (depicted as emission filters 126 and 128), wherein the filter wheel 124 is configured to accommodate the at least one emission filter 126-128 therein. As shown, the emission filter 126 is configured to remove the remaining portion of the reflected excitation light received from the multiband beam splitter 116 and filter the emitted light whilst transmitting the emitted light to an optic arrangement 130. It is to be understood that the filtered emitted light is depicted as a dotted line and an optical path of the filtered emitted light is depicted by use of arrows along the dotted lines. The optical arrangement 130 is configured to direct the filtered emitted light onto an imaging device 132. The system 100 further includes a processing module (not shown) coupled to the imaging device 132.
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The steps 302 to 308 are only illustrative and other alternatives can also be provided where one or more steps are added, one or more steps are removed, or one or more steps are provided in a different sequence.
The scope of protection is defined by the appended claims.
Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non-exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural.
This list of references cited by the applicant is for the reader's convenience only. It does not form part of the European patent document. Even though great care has been taken in compiling the references, errors or omissions cannot be excluded and the EPO disclaims all liability in this regard.